Results 11 to 20 of about 8,383 (299)
Improved semi-supervised autoencoder for deception detection. [PDF]
PLoS ONE, 2019 Existing algorithms of speech-based deception detection are severely restricted by the lack of sufficient number of labelled data. However, a large amount of easily available unlabelled data has not been utilized in reality.
Hongliang Fu +4 more
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Contextual considerations for deception production and detection in forensic interviews
Frontiers in Psychology, 2023 Most deception scholars agree that deception production and deception detection effects often display mixed results across settings. For example, some liars use more emotion than truth-tellers when discussing fake opinions on abortion, but not when ...
David M. Markowitz +3 more
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HOW PEOPLE [TRY TO] DETECT LIES IN EVERYDAY LIFE [PDF]
Trames, 2021 Laboratory-based deception-detection experiments often fail to capture the features of everyday life lie detection among ordinary citizens. In this study, we examined how people [try to] detect deception in real life.
Nuria Sánchez +2 more
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Computational Measures of Deceptive Language: Prospects and Issues
Frontiers in Communication, 2022 In this article, we wish to foster a dialogue between theory-based and classification-oriented stylometric approaches regarding deception detection. To do so, we review how cue-based and model-based stylometric systems are used to detect deceit. Baseline
Frédéric Tomas +3 more
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Survey of software anomaly detection based on deception
网络与信息安全学报, 2022 Advanced persistent threats (APT) will use vulnerabilities to automatically load attack code and hide attack behavior, and exploits code reuse to bypass the non-executable stack ＆amp; heap protection, which is an essential threat to network security ...
Jianming FU +3 more
doaj +3 more sources
Detecting Deceptive Behaviours through Facial Cues from Videos: A Systematic Review
Applied Sciences, 2023 Interest in detecting deceptive behaviours by various application fields, such as security systems, political debates, advanced intelligent user interfaces, etc., makes automatic deception detection an active research topic.
Arianna D’Ulizia +3 more
doaj +1 more source
IT’S THE INTENTION THAT COUNTS. A REVIEW ON DECEPTION DETECTION FOCUSED ON INTENTIONS [PDF]
Papeles del Psicólogo, 2018 For years the research on deception detection has been guided by classical theories that support the idea that the liar gives out behavioral indicators which betray him/her. Within the new lines of research, deception detection focused on intentions has
María Carmen Feijoo Fernández +1 more
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IEEE Access, 2022 Over a few decades, a remarkable amount of research has been conducted in the field of speech signal processing particularly on deception detection for security applications.
Sinead V. Fernandes, Muhammad Sana Ullah
doaj +1 more source
Acta Psychologica, 2022 People deceive for different reasons, from avoiding interpersonal conflicts to preserving, protecting, and nurturing interpersonal relationships, and to obtaining social status and power.
Andreea Turi +2 more
doaj +1 more source
Deception detection in Twitter [PDF]
Social Network Analysis and Mining, 2015 Online Social Networks (OSNs) play a significant role in the daily life of hundreds of millions of people. However, many user profiles in OSNs contain deceptive information. Existing studies have shown that lying in OSNs is quite widespread, often for protecting a user’s privacy.
Jalal S. Alowibdi +4 more
openaire +1 more source